Browsing by Author "Wang, Ruije"

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    Conceptual Motivation Modeling for Students with Dyslexia for enhanced Assistive Learning
    (ACM, 2017-03-13) Wang, Ruije; Chen, Liming; Solheim, Ivar; Schulz, Trenton; Ayesh, Aladdin, 1972-
    Students with dyslexia often suffer from the lack of academic self-worth and frustration that can even lead to learned helplessness. However, few studies have investigated the impact of incorporating users’ motivational factors into user modeling to enhance the learning experience for students with dyslexia. In this paper we attempt to develop a conceptual motivation model for people with dyslexia in their use of assistive learning tools. To this end, we carry out a small-scale empirical study in real-world learning scenarios. Then we conduct individual interviews to gain first-hand data about the key factors and features affecting learning experience. Using coding and thematic analysis methods we discuss main themes regarding motivational factors and their interrelationships identified. Based on these findings, we create a conceptual motivation model tailored towards students with dyslexia, which will help enhance learning experience and improve learning efficiency.
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    A Conceptual System Architecture for Motivation-enhanced Learning for Students with Dyslexia
    (ACM, 2017) Wang, Ruije; Chen, Liming; Solheim, Ivar
    Increased user motivation from interaction process leads to improved interaction, resulting in increased motivation again, which forms a positive self-propagating cycle. Therefore, a system will be more effective if the user is more motivated. Especially for students with dyslexia, it is common for them to experience more learning difficulties that affect their learning motivation. That's why we need to employ techniques to enhance user motivation in the interaction process. In this research, we will present a system architecture for motivation-enhanced learning and the detailed process of the construction of our motivation model using ontological approach for students with dyslexia. The proposed framework of the personalised learning system incorporates our motivation model and corresponding personalisation mechanism aiming to improve learning motivation and performance of students with dyslexia. Additionally, we also provide examples of inference rules and a use scenario for illustration of personalisation to be employed in our system.